def get_data(path, mpr, aggregator):
ds = CsvFileSource(path, event_type='WMS')
player = LogPlayer(ds)
analyzer = XYAnalyzer(mapper=mpr)
player.add_analyzer(analyzer)
player.forward()
X, Y = analyzer.get_xy()
return aggregator(X, Y)
def get_data(ds): player = LogPlayer(ds) #analyzer = XYAnalyzer(mapper=lambda e: (e.timestamp.tm_hour + (e.timestamp.tm_min/15*15)/60.0, e.proc_ms )) analyzer = XYAnalyzer(mapper=lambda e: (e.timestamp.tm_hour + (e.timestamp.tm_min/15*15)/60.0, 256.0**2 * e.proc_ms / float(e.query.width*e.query.height) )) player.add_analyzer(analyzer) player.forward() X,Y = analyzer.get_xy() return aggregate(X,Y)
def get_data(ds):
player = LogPlayer(ds)
analyzer = XYAnalyzer(mapper=lambda e: (e.timestamp.tm_hour + (
e.timestamp.tm_min / 30 * 30) / 60.0, 1 / 30.0))
player.add_analyzer(analyzer)
player.forward()
X, Y = analyzer.get_xy()
return aggregate(X, Y)
def get_data(ds):
player = LogPlayer(ds)
analyzer = XYAnalyzer(mapper=lambda e: (e.timestamp.tm_wday +
(e.timestamp.tm_hour / 24.0), 1))
player.add_analyzer(analyzer)
player.forward()
X, Y = analyzer.get_xy()
return aggregate(X, Y)
def get_data(path, mapper, reducer):
ds = CsvFileSource(path, event_type='WMS')
player = LogPlayer(ds)
analyzer = XYAnalyzer(mapper=mapper)
player.add_analyzer(analyzer)
player.forward()
X, Y = analyzer.get_xy()
#print X,Y
return reducer(X, Y)
def get_data(ds):
player = LogPlayer(ds)
analyzer = XYAnalyzer(mapper=lambda e: (datetime.fromtimestamp(
mktime(e.timestamp)).isocalendar()[1] + datetime.fromtimestamp(
mktime(e.timestamp)).isocalendar()[2] / 7.0, 1))
player.add_analyzer(analyzer)
player.forward()
X, Y = analyzer.get_xy()
return aggregate(X, Y)
